2014
DOI: 10.1109/tbc.2013.2289639
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Evaluation of Background Push Content Download Services to Mobile Devices Over DVB Networks

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Cited by 8 publications
(9 citation statements)
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References 28 publications
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“…In this way, given a set of files with certain size and utility, it is needed to determine the combination of files that better use the available cache space, considering the total size of the cache [53]. This is referred as the 0-1 knapsack optimization problem [54]. In this sense, there are different cache replacement policies to optimize the cache, some of them are presented in [55] and [56].…”
Section: Discussionmentioning
confidence: 99%
“…In this way, given a set of files with certain size and utility, it is needed to determine the combination of files that better use the available cache space, considering the total size of the cache [53]. This is referred as the 0-1 knapsack optimization problem [54]. In this sense, there are different cache replacement policies to optimize the cache, some of them are presented in [55] and [56].…”
Section: Discussionmentioning
confidence: 99%
“…In [6], Fraile et al propose a background content download service using residue network capacity. They design the FLUTE protocol to opportunistically insert packets when the underlying streaming is spare and the downloaded contents are stored in mobile terminals for future access.…”
Section: B Related Workmentioning
confidence: 99%
“…• Delay-tolerant contents. The network is designed for the delivery of delay-tolerant contents as described in [6]. In other words, it means that the content delivery delay at the scale of several minutes (the duration when a VU is within an RSU) is tolerable.…”
Section: B Design Issuesmentioning
confidence: 99%
“…[5] proposes a load balance scheme to minimize the user response time for the converged network, but the user storage ability is not exploited. The performance of push-based DVB network is investigated in [6], which includes the application layer forward error correction (AL-FEC) optimization, the carousel frequency design and the storage management algorithm. [7] studies the problem of delivering contents to users before their deadlines.…”
Section: Introductionmentioning
confidence: 99%
“…We define the network capacity as the number of users supported within a target block rate. Two different criteria, namely, the offloading probability maximization [6] and the offloading data percent maximization [9], are proposed to derive the optimal pushing scheme under the converged network. By maximizing the offloading probability, more user requests can be satisfied locally, resulting in lower block rate and better user experience.…”
Section: Introductionmentioning
confidence: 99%